基于ADMM的智能电网电力调度优化分布式在线算法

ADMM-Based Distributed OnlineAlgorithm for Power Dispatching Optimization of Smart Grid

近年来,随着电网相关参与者和研究人员对智能电网的研究越来越深入,电网的电力调度优化上仍存在很多值得深入研究的方向。本文研究了在智能电网环境中电力调度的分布式算法。在本文中,我们首先介绍电力调度优化问题是凸优化问题,它主要由三个关键因素构成,例如用户的效用函数,电网负载和供电成本。由此,我们提出了基于交替方向乘子(alternation direction method of multipliers, ADMM)的分布式算法,该算法采用历史信息作为影响因子,以此把已有模型的不等式约束改为等式约束。该算法以分布式方式将耦合项分离并实现在线求解。所提的算法在解决问题的同时,也有效地避免了智能电网中信息交互过程中的隐私泄露问题。最后,通过数值实验,说明了该算法较已有算法具有较好的性能和表现。

In recent years, with the research of smart grid by relevant participants and researchers, there are still many directions worth studying in power dispatching optimization. This paper studies the distributed algorithm of power dispatching in smart grid environment. In this paper, we first introduce that the power dispatching optimization problem is a convex optimization problem, which is mainly composed of three key factors, such as user utility function, power grid load and power supply cost. From this, we propose a distributed algorithm based on alternating direction multiplier (alternation direction method of multipliers, ADMM), which uses historical information as the influence factor to change the inequality constraint of the existing model into equality constraint. In this algorithm, the coupling terms are separated and solved online in a distributed way, while solving the problem, the proposed algorithm also effectively avoids the privacy disclosure problem in the process of information interaction in smart grid. Finally, the numerical experiment shows that the algorithm has better performance and performance than the existing algorithm.